Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Aspect based sentiment analysis using fine-tuned BERT model with deep context features Subject The topic of the resource BERT; DC-BERT; Interaction layer; NLP; Sentiment analysis Description An account of the resource Sentiment analysis is the task of analysing, processing, inferencing and concluding the subjective texts along with sentiment. Considering the application of sentiment analysis, it is categorized into document-level, sentence-level and aspect level. In past, several researches have achieved solutions through the bidirectional encoder representations from transformers (BERT) model, however, the existing model does not understand the context of the aspect in deep, which leads to low metrics. This research work leads to the study of the aspect-based sentiment analysis presented by deep context bidirectional encoder representations from transformers (DC-BERT), main aim of the DC-BERT model is to improvise the context understating for aspects to enhance the metrics. DC-BERT model comprises fine-tuned BERT model along with a deep context features layer, which enables the model to understand the context of targeted aspects deeply. A customized feature layer is introduced to extract two distinctive features, later both features are integrated through the interaction layer. DC-BERT mode is evaluated considering the review dataset of laptops and restaurants from SemEval 2014 task 4, evaluation is carried out considering the different metrics. In comparison with the other model, DC-BERT achieves an accuracy of 84.48% and 92.86% for laptop and restaurant datasets respectively. 2024, Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Rajan A.; Manur M. Source A related resource from which the described resource is derived IAES International Journal of Artificial Intelligence, Vol-13, No. 2, pp. 1250-1261. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijai.v13.i2.pp1250-1261" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v13.i2.pp1250-1261</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192977653&amp;doi=10.11591%2Fijai.v13.i2.pp1250-1261&amp;partnerID=40&amp;md5=8dbd977ad8d0931bcfe536fed951a8ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192977653&amp;doi=10.11591%2fijai.v13.i2.pp1250-1261&amp;partnerID=40&amp;md5=8dbd977ad8d0931bcfe536fed951a8ab</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20894872 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajan A., Department of CSE, CHRIST (Deemed to be University), Bangalore, India; Manur M., Department of CSE, CHRIST (Deemed to be University), Bangalore, India